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Introduction to Tribhuvan University HPC

Overview

The High-Performance Computing (HPC) system at Tribhuvan University is a state-of-the-art computational facility established to support scientific research, data-intensive simulations, and advanced computing. The HPC infrastructure is managed by the Central Department of Physics (CDP), Tribhuvan University.

The HPC system plays a vital role in accelerating research across multiple domains, including computational physics, material science, artificial intelligence, and climate modeling.

Establishment and Evolution

The HPC cluster was initiated on September 1, 2018, with support from the Alexander von Humboldt (AvH) Foundation, Germany, and Higher Education Reform Project (HERP) of TU. The system has since evolved, incorporating multi-core CPU clusters, high-performance GPUs, and optimized software environments for parallel computing.

Objectives of TU HPC

The TU HPC infrastructure aims to:

  • Enable cutting-edge research in computational sciences and engineering.
  • Provide high-performance computational resources for researchers and students.
  • Foster interdisciplinary collaborations with national and international institutions.
  • Train the next generation of researchers in advanced computing techniques.
  • Support large-scale simulations, machine learning, and data analytics.

Research Domains Supported

The HPC cluster at TU facilitates currently working on research in the following areas:

  • Condensed Matter Physics: First-principles calculations and quantum simulations.
  • Artificial Intelligence & Machine Learning: Training and deploying deep learning models.
  • Climate and Environmental Modeling: High-resolution weather and climate simulations.
  • Genomics & Bioinformatics: Computational analysis of biological data.
  • Engineering Simulations: Structural, fluid dynamics, and material analysis.
  • Big Data Analytics: Large-scale data processing and visualization.

International Collaborations

TU HPC has established collaborations with leading institutions worldwide, including:

  • Massachusetts Institute of Technology (MIT), USA
  • University of Texas, USA
  • Leibniz Institute for Solid State and Materials Research (IFW-Dresden), Germany
  • Stanford University, USA
  • Kathmandu University, Nepal

These partnerships have facilitated knowledge exchange, joint research projects, and shared computational resources.

Future Roadmap

TU HPC is continuously evolving with plans to:

  • Expand the computational resources with more GPU nodes and high-memory servers.
  • Enhance data storage capacity and improve network infrastructure.
  • Develop customized HPC training programs for students and researchers.
  • Strengthen collaborations with industries and research labs.

For more details on how to access and utilize TU HPC, visit our Getting Started Guide.

Empowering Research with High-Performance Computing! 🚀